American Eagle Outfitters (AEO) Non-Current Assets (2009 - 2026)
American Eagle Outfitters (AEO) recorded Non-Current Assets of $2.94 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.5% from $2.79 billion a year earlier and up 3.5% from the prior quarter.
American Eagle Outfitters (AEO) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), American Eagle Outfitters reported Non-Current Assets of $2.7 billion, up 8.8% from FY2025.
- Annual Non-Current Assets has a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Assets came in at $2.48 billion in FY2025 (+16.6%), $2.12 billion in FY2024 (-8.5%), $2.32 billion in FY2023 (-2.9%) and $2.39 billion in FY2022 (+25.0%).
- The fiscal Q2 2027 figure is the highest quarterly Non-Current Assets in data going back to fiscal Q2 2010.
- On a year-over-year basis, Non-Current Assets has increased for ten consecutive quarters, with growth averaging 13.1% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 29.5% in fiscal Q2 2023, against a decline of 9.5% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.84 billion (Q1 2027), $2.7 billion (Q4 2026) and $2.79 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 8.11 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 40.31 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 10.19 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 6.55 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 11.98 Bn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 2.94 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.94 Bn |
| May 2, 2026 | 2.84 Bn |
| Jan 31, 2026 | 2.70 Bn |
| Nov 1, 2025 | 2.79 Bn |
| Aug 2, 2025 | 2.79 Bn |
| May 3, 2025 | 2.68 Bn |
| Feb 1, 2025 | 2.48 Bn |
| Nov 2, 2024 | 2.40 Bn |
| Aug 3, 2024 | 2.29 Bn |
| May 4, 2024 | 2.25 Bn |
| Feb 3, 2024 | 2.12 Bn |
| Oct 28, 2023 | 2.17 Bn |
| Jul 29, 2023 | 2.23 Bn |
| Apr 29, 2023 | 2.24 Bn |
| Jan 28, 2023 | 2.32 Bn |
| Oct 29, 2022 | 2.40 Bn |
| Jul 30, 2022 | 2.45 Bn |
| Apr 30, 2022 | 2.42 Bn |
| Jan 29, 2022 | 2.39 Bn |
| Oct 30, 2021 | 1.97 Bn |
American Eagle Outfitters Non-Current Assets API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-current-assets&ticker=AEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "AEO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();